Best CV Accuracy
0.629
Best Model
SVM (RBF Kernel)
Models Evaluated
6
Summary of the tuned models and their best cross-validated metrics:
| Model | CV Accuracy | CV F1 (macro) | CV Balanced Accuracy |
|---|---|---|---|
| SVM (RBF Kernel) | 0.629 | 0.620 | 0.627 |
| Logistic Regression | 0.622 | 0.606 | 0.626 |
| Linear SVM | 0.617 | 0.606 | 0.618 |
| Linear Discriminant Analysis | 0.599 | 0.577 | 0.602 |
| k-Nearest Neighbors (k = 15) | 0.557 | 0.553 | 0.557 |
| Decision Tree | 0.551 | 0.537 | 0.551 |